Localization in Underwater Sensor Networks / by Jing Yan, Haiyan Zhao, Yuan Meng, Xinping Guan.

Format:

Book

Author/Creator:

Yan, Jing, Author.

Zhao, Haiyan, Author.

Meng, Yuan, Author.

Guan, Xinping, Author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Wireless Networks, 2366-1445

Language:

English

Subjects (All):

Computer networks.

Computer engineering.

Application software.

Mobile computing.

Data protection.

Robotics.

Computer Communication Networks.

Computer Engineering and Networks.

Computer and Information Systems Applications.

Mobile Computing.

Data and Information Security.

Local Subjects:

Computer Communication Networks.

Computer Engineering and Networks.

Computer and Information Systems Applications.

Mobile Computing.

Data and Information Security.

Robotics.

Physical Description:

1 online resource (XVII, 220 pages) : 230 illustrations, 81 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

Ocean covers 70.8% of the Earth's surface, and it plays an important role in supporting all life on Earth. Nonetheless, more than 80% of the ocean's volume remains unmapped, unobserved and unexplored. In this regard, Underwater Sensor Networks (USNs), which offer ubiquitous computation, efficient communication and reliable control, are emerging as a promising solution to understand and explore the ocean. In order to support the application of USNs, accurate position information from sensor nodes is required to correctly analyze and interpret the data sampled. However, the openness and weak communication characteristics of USNs make underwater localization much more challenging in comparison to terrestrial sensor networks. In this book, we focus on the localization problem in USNs, taking into account the unique characteristics of the underwater environment. This problem is of considerable importance, since fundamental guidance on the design and analysis of USN localization is very limited at present. To this end, we first introduce the network architecture of USNs and briefly review previous approaches to the localization of USNs. Then, the asynchronous clock, node mobility, stratification effect, privacy preserving and attack detection are considered respectively and corresponding localization schemes are developed. Lastly, the book's rich implications provide guidance on the design of future USN localization schemes. The results in this book reveal from a system perspective that underwater localization accuracy is closely related to the communication protocol and optimization estimator. Researchers, scientists and engineers in the field of USNs can benefit greatly from this book, which provides a wealth of information, useful methods and practical algorithms to help understand and explore the ocean.

Contents:

Chapter 1 Introduction

Chapter 2 Asynchronous Localization of Underwater Sensor Networks with Mobility Prediction

Chapter 3 Asynchronous Localization of Underwater Sensor Networks with Consensus-Based Unscented Kalman Filtering

Chapter 4 Reinforcement Learning Based Asynchronous Localization of Underwater Sensor Networks

Chapter 5 Privacy Preserving Asynchronous Localization of Underwater Sensor Networks

Chapter 6 Privacy-Preserving Asynchronous Localization of Underwater Sensor Network with Attack Detection and Ray Compensation

Chapter 7 Deep Reinforcement Learning Based Privacy-Preserving Localization of Underwater Sensor Networks

Chapter 8 Conclusion and future perspective.

Other Format:

Printed edition:

ISBN:

978-981-16-4831-1

9789811648311

Access Restriction:

Restricted for use by site license.